数理・データサイエンスセンターでは、「神戸大学CMDS論文セミナー」を開催し、データサイエンスやAI関係の先端的な論文紹介を行います。
みなさま奮ってご参加ください。後期の論文セミナーは電気電子工学専攻知的学習論研究室の学生が論文紹介を行います。
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| No. | 日程 | 論文情報 | 発表者・学年 |
|---|---|---|---|
| 1 | 2023/10/12(木) | C. Liang, W. Wang, J. Miao, and Y. Yang, "GMMSeg: Gaussian Mixture based Generative Semantic Segmentation Models," Advances in Neural Information Processing Systems (2022) |
東海林 翼・M2 |
| 2 | 2023/10/16(月) | S. Menon and C. Vondrick, "Visual Classification via Description from Large Language Models," The Eleventh International Conference on Learning Representations (2023) |
宮武 和咲・M2 |
| 3 | 2023/10/19(木) | W. Gaihua, L. Jinheng, C. Lei, D. Yingying, and Z Tianlun, "nstance segmentation convolutional neural network based on multi-scale attention mechanism," PLoS ONE 17(1): e0263134. |
服部 達也・M2 |
| 4 | 2023/10/23(月) | X. Zhang, Y. Zhao, Z. Cui, L. Li, S. He, Q. Lin, Y. Dang, S. Rajmohan and D. Zhang, "Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection," International Conference on Learning Representations (2023) |
藤原 魁成・M2 |
| 5 | 2023/10/26(木) | X.Chen and K.He, "Exploring Simple Siamese Representation Learning," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.15750-15758 (2021) |
野手 勇哉・M2 |
| 6 | 2023/10/30(月) | D. Kim, B. Na, S. J. Kwon, D. Lee, W. Kang, and I. Moon, "IMaximum Likelihood Training of Implicit Nonlinear Diffusion Model," Advances in Neural Information Processing Systems 35, Vol. 35, pp. 32270-32284 (2022) |
近江 勇斗・M2 |
| 7 | 2023/11/02(木) | S. Linn and A. J. Mia, "Semantic-SuPer: A Semantic-aware Surgical Perception Framework for Endoscopic Tissue Identification, Reconstruction, and Tracking," IEEE International Conference on Robotics and Automation (2023) |
三谷 祐貴・M2 |
| 8 | 2023/11/06(月) | J. Chen, Y. Si, C. Un, and S. Siu, "Chemical Toxicity Prediction Based on Semi-supervised Learning and Graph Convolutional Neural Network," Journal of Cheminformatics, vol. 13, no. 1 (2021) |
相部 剛司・M2 |
| 9 | 2023/11/09(木) | J. Lu, S. An, M. Lin, G. Pergola, Y. He, D. Yin, X. Sun, and Y. Wu, "MemoChat: Tuning LLMs to Use Memos for Consistent Long-Range Open-Domain Conversation," arXiv preprint arXiv:2308.08239 (2023) |
中野 瑠人・M2 |
| 10 | 2023/11/13(月) | A. Khader, J. Yang, and L. Xiao, "NMF-DuNet: Nonnegative Matrix Factorization Inspired Deep Unrolling Networks for Hyperspectral and Multispectral Image Fusion," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol.15, pp.5704-5720 (2022) |
渡邊 斗夢・M2 |
| 11 | 2023/11/16(木) | K. Meng, A. S. Sharma, A. J. Andonian, Y. Belinkov, and D. Bau, "Mass-Editing Memory in a Transformer," The International Conference on Learning Representations (2023) |
高須 悠一朗・M2 |
| 12 | 2023/11/20(月) | H. M. Zolbanin, B. Davazdahemami, D. Delen, and A. H. Zadeh, "Data analytics for the sustainable use of resources in hospitals: Predicting the length of stay for patients with chronic diseases," Infomation & Management, Vol. 59, No.5 (2022) |
竹内 奏・M2 |
| 13 | 2023/11/24(金) | R. Girdhar, A. El-Nouby, Z. Liu, M. Singh, K. V. Alwala, A. Joulin, and I. Misra, "ImageBind: One Embedding Space To Bind Them All," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 15180-15190 (2023) |
南地 海音・M2 |
| 14 | 2023/11/27(月) | X. Ma, Y. Zhou, H. Wang, C. Qin, B. Sun, C. Liu, and Y. Fu, "Image as Set of Points," International Conference on Learning Representations (2023) |
三宅 健太・M2 |
| 1５ | 2023/11/30(木) | T. Burns and T. Fukai, "Simplicial Hopfield Networks," Proceedings of the International Conference on Learning Representations (ICLR 2023) |
中野 博三・M2 |
| 16 | 中止 2/1(木)に延期 |
B. Cheng, A. Schwing, and A. Kirillov, "Per-pixel classification is not all you need for semantic segmentation" In Advances in Neural Information Processing Systems, 34 (2021) |
龔 承乾・M2 |
| 17 | 2023/12/07(木) | R. Jakob, "Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets," Conference on Uncertainty in Artificial Intelligence (2020) |
滝川 優太・M1 |
| 18 | 2023/12/11(月) | R. Rombach, A. Blattmann, D. Lorenz, P. Esser, and B. Ommer, "High-Resolution Image Synthesis With Latent Diffusion Models," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 10684-10695 (2022) |
香川 龍吾・M1 |
| 19 | 2023/12/14(木) | L. Yu. C. Zhang. B. Y. Zhou. X. P. Gao, and Z. Lv, "A dual model approach to EOG-based human activity recognition," Biomedical Signal Processing and Control, vol. 45 pp. 50 -57 (2018) |
小堀 颯大・M1 |
| 20 | 2023/12/18(月) | C. Qiu, A. Li, M. Kloft, M. Rudolph, and S. Mandt, "Latent Outlier Exposure for Anomaly Detection with Contaminated Data," Proceedings of the 39th International Conference on Machine Learning, volume. 162, pages. 18153--18167 (2022) |
浦川 遥輝・M1 |
| 21 | 2023/12/21(木) | E. Bézenac, S. Rangapuram, K. Benidis, M. Bohlke-Schneider, R. Kurle, L. Stella, H. Hasson, P. Gallinari, and T. Januschowski, "Normalizing Kalman Filters for Multivariate Time Series Analysis" Advances in Neural Information Processing Systems, vol. 33 (2020) |
萩本 康心・M1 |
| 22 | 2023/12/25(月) | J. Li, D. Li, S. Savarese, and S. Hoi, "Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models," arXiv preprint arXiv:2301.12597 (2023). |
鍛冶 佳祐・M1 |
| 23 | 2024/01/09(火) | S. Yao, D. Yu, J. Zhao, I. Shafran, T. L. Griffiths, Y. Cao, and K. Narasimhan, "Tree of Thoughts: Deliberate Problem Solving with Large Language Models," arXiv preprint arXiv:2305.10601 (2023). |
小杉 樹来・M1 |
| 24 | 2024/01/11(木) | L.Zhou,M.Poli,W.Xu,S.Massaroli,S.Ermon, "Deep Latent State Space Models for Time-Series Generation," Proceedings of the 40th International Conference on Machine Learning (2023) |
福本 大歩・M1 |
| 25 | 2024/01/15(月) | Y. Lao, W. Zhao, P. Yang, and P. Li, "DeepAuth: A DNN Authentication Framework by Model-Unique and Fragile Signature Embedding,'" Proceedings of the 36th AAAI Conference on Artificial Intelligence (2022) |
辻田 章貴・M1 |
| 26 | 2024/01/18(木) | B. Konstantina, I. Tsamardinos, and S. Triantafillou, "Out-of-sample tuning for causal discovery," IEEE Transactions on Neural Networks and Learning Systems (2022) |
村中 大輔・M1 |
| 27 | 2024/01/22(月) | Z. Wang, Z. Zhang, C. Y. Lee, H. Zhang, R. Sun, X. Ren, G. Su, V. Perot, J. Dy, and T. Pfister, "Learning to prompt for continual learning," Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022) |
北野 優斗・M1 |
| 28 | 2024/01/25(木) | A. Gu, K. Goel, and C. Ré, "Efficiently Modeling Long Sequences with Structured State Spaces," The Tenth International Conference on Learning Representations (2022) |
加藤 天・M1 |
| 29 | 2024/01/29(月) | L. Chai and M. Li, "Pyramid attention for source code summarization," n Advances in Neural Information Processing Systems, Vol. 35, pp. 20421–20433 (2022) |
Muhammad Fakhrur Rozi・D |
| 30 | 2024/02/01(木) | B. Cheng, A. Schwing, and A. Kirillov, "Per-pixel classification is not all you need for semantic segmentation" In Advances in Neural Information Processing Systems, 34 (2021) |
龔 承乾・M2 |
